Amirhossein Taghvaei

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 76

Top Topics

Function Approximation

Riemannian Manifolds

Particle Filter

Top Venues

IEEE Control. Syst. Lett.

Publications

Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR (2024)
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Stochastic thermodynamic engines under time-varying temperature profile. Autom. 159 (2024)
Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR (2024)
Amirhossein Taghvaei
Time-Reversal of Stochastic Maximum Principle. CoRR (2024)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
Minimal entropy production in the presence of anisotropic fluctuations. CoRR (2023)
Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
Optimal Transport-based Nonlinear Filtering in High-dimensional Settings. CoRR (2023)
Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen Tannenbaum, Sean Phillips
Distributed Nonlinear Filtering using Triangular Transport Maps. CoRR (2023)
Amirhossein Taghvaei, Prashant G. Mehta
A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). CoRR (2023)
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. ACC (2023)
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
An optimal control approach to particle filtering. Autom. 151 (2023)
Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T. Georgiou, Sean Phillips, Allen R. Tannenbaum
Computational Optimal Transport and Filtering on Riemannian Manifolds. IEEE Control. Syst. Lett. 7 (2023)
Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
Optimal Transport Particle Filters. CDC (2023)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
Minimal entropy production in anisotropic temperature fields. ACC (2023)
Amirhossein Taghvaei, Prashant G. Mehta
A survey of feedback particle filter and related controlled interacting particle systems (CIPS). Annu. Rev. Control. 55 (2023)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
A Matching Principle for Power Transfer in Stochastic Thermodynamics. IEEE Control. Syst. Lett. 7 (2023)
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. CoRR (2023)
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. NeurIPS (2023)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
A matching principle for power transfer in Stochastic Thermodynamics. CoRR (2023)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
Minimal entropy production in anisotropic temperature fields. CoRR (2022)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Thermodynamic engine powered by anisotropic fluctuations. CoRR (2022)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations. CoRR (2022)
Amirhossein Taghvaei, Bamdad Hosseini
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CoRR (2022)
Amirhossein Taghvaei, Prashant G. Mehta
On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. IEEE Trans. Autom. Control. 67 (5) (2022)
Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. 170 (2022)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations. IEEE Control. Syst. Lett. 6 (2022)
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. CoRR (2022)
Amirhossein Taghvaei, Bamdad Hosseini
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CDC (2022)
Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
On the Relation Between Information and Power in Stochastic Thermodynamic Engines. IEEE Control. Syst. Lett. 6 (2022)
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
Variational Wasserstein gradient flow. ICML (2022)
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Harvesting energy from a periodic heat bath. CoRR (2021)
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Variational Wasserstein gradient flow. CoRR (2021)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
Energy harvesting from anisotropic fluctuations. CoRR (2021)
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Stein particle filtering. CoRR (2021)
Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
On the relation between information and power in stochastic thermodynamic engines. CoRR (2021)
Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Maximal power output of a stochastic thermodynamic engine. Autom. 123 (2021)
Amirhossein Taghvaei, Prashant G. Mehta
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. CoRR (2021)
Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR (2021)
Amirhossein Taghvaei, Prashant G. Mehta
An Optimal Transport Formulation of the Ensemble Kalman Filter. IEEE Trans. Autom. Control. 66 (7) (2021)
Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. ICML (2021)
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
An optimal control approach to particle filtering. CoRR (2021)
Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
Lasso formulation of the shortest path problem. CoRR (2020)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Bio-inspired Learning of Sensorimotor Control for Locomotion. ACC (2020)
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Harvesting energy from a periodic heat bath. CDC (2020)
Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Maximal power output of a stochastic thermodynamic engine. CoRR (2020)
Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou
Optimality vs Stability Trade-off in Ensemble Kalman Filters. CoRR (2020)
Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
Optimal transport mapping via input convex neural networks. ICML (2020)
Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. CoRR (2020)
Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
Lasso formulation of the shortest path problem. CDC (2020)
Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
Deep FPF: Gain function approximation in high-dimensional setting. CDC (2020)
Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
Deep FPF: Gain function approximation in high-dimensional setting. CoRR (2020)
Amirhossein Taghvaei, Amin Jalali
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta
An Optimal Transport Formulation of the Ensemble Kalman Filter. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta
Accelerated Flow for Probability Distributions. ICML (2019)
Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
Optimal transport mapping via input convex neural networks. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Gain function approximation in the Feedback Particle Filter. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta
Accelerated Flow for Probability Distributions. CoRR (2019)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Q-learning for POMDP: An application to learning locomotion gaits. CoRR (2019)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Q-learning for POMDP: An application to learning locomotion gaits. CDC (2019)
Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
An Approach to Duality in Nonlinear Filtering. ACC (2019)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
A Mean-Field Optimal Control Formulation for Global Optimization. IEEE Trans. Autom. Control. 64 (1) (2019)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Bio-inspired Learning of Sensorimotor Control for Locomotion. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta
Error Analysis of the Stochastic Linear Feedback Particle Filter. CDC (2018)
Amirhossein Taghvaei, Prashant G. Mehta
Error Analysis of the Stochastic Linear Feedback Particle Filter. CoRR (2018)
Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta
Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. CDC (2018)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. IEEE Trans. Autom. Control. 63 (8) (2018)
Amirhossein Taghvaei, Prashant G. Mehta
Error Analysis for the Linear Feedback Particle Filter. ACC (2018)
Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Error estimates for the kernel gain function approximation in the feedback particle filter. ACC (2017)
Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
How regularization affects the critical points in linear networks. NIPS (2017)
Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, Sebastian Reich
Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. CoRR (2017)
Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
How regularization affects the critical points in linear networks. CoRR (2017)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Attitude estimation of a wearable motion sensor. ACC (2017)
Amirhossein Taghvaei, Prashant G. Mehta
An optimal transport formulation of the linear feedback particle filter. ACC (2016)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Feedback particle filter on matrix lie groups. ACC (2016)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Attitude estimation with feedback particle filter. CDC (2016)
Amirhossein Taghvaei, Prashant G. Mehta
Gain function approximation in the feedback particle filter. CDC (2016)
Amirhossein Taghvaei, Seth Hutchinson, Prashant G. Mehta
A coupled oscillators-based control architecture for locomotory gaits. CDC (2014)